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Datasets:
snskrt
/
Shiv_Mahapuran

Tasks:
Feature Extraction
Text Classification
Token Classification
Languages:
Sanskrit
Size:
10K<n<100K
Tags:
code
License:
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metadata 
license: apache-2.0
task_categories:
  - feature-extraction
  - text-classification
  - token-classification
  - translation
  - text-generation
  - summarization
  - text2text-generation
language:
  - sa
tags:
  - code
pretty_name: Śihva Mahāpurāṇa
size_categories:
  - 10K<n<100K

Dataset Card for Shiv_Mahapuran

Dataset Details

Dataset Description

This dataset contains a complete, structured representation of the Śiva Mahāpurāṇa (often called Śivapurāṇa) in CSV format. It is broken down into Saṃhitās (seven surviving Saṃhitās), Khaṇḍas, Adhyāyas, and individual ślokas, enabling fine-grained NLP work on classical Sanskrit scripture.

  • Curated by: Aluminium
  • Organization: Snskrt
  • Shared by: Snskrt
  • Language(s): Sanskrit (ISO code: sa)
  • License: Apache-2.0
  • Size: ~24,489 ślokas

Dataset Sources

Uses

Direct Use

  • Training and evaluating Sanskrit language models on classical hymn/text generation
  • Building Sanskrit question-answering systems over Purāṇic content
  • Machine translation between Sanskrit and modern languages
  • Summarization and feature extraction of mythological scripture

Out-of-Scope Use

  • Modern colloquial or conversational Sanskrit tasks

Dataset Structure

Each record in the CSV/JSON has these fields:

  • samhita (string): Name of the Saṃhitā, e.g. "Rudrasaṃhitā"
  • khanda (string): Khanda name, e.g. "Parvati kand"
  • khanda_number (string): Khanda name, e.g. "1"
  • adhyay (string): Adhyāya title or number, e.g. "1.1"
  • shloka_number (int): Position of the śloka within the Adhyāya
  • shloka_text (string): Full Sanskrit text of the śloka

Dataset Creation

Curation Rationale

To supply researchers and developers with a fully parsed, program-friendly version of the Śiva Mahāpurāṇa, facilitating a range of NLP tasks on one of Hinduism’s major Purāṇas.

Source Data

Data Collection and Processing

  • Raw Sanskrit text sourced from critical editions of the Śiva Mahāpurāṇa
  • Divided into JSON Saṃhitā → Khanda → Adhyāya → śloka hierarchy
  • Converted to CSV via Python scripts, preserving khanda-level structure and normalizing field names

Who are the source data producers?

Original verses are attributed to Vyāsa; digital encoding and structuring by Snskrt.

Bias, Risks, and Limitations

  • Classical text only—no modern translations or commentary included.
  • Possible editorial or typographical errors from digitization.